This project thesis aims to explore the various applications of differential equations in modeling real-world phenomena. It will analyze how differential equations are used to describe complex systems and predict future behavior. By studying a…
Read MoreThis project thesis explores the use of neural networks to solve nonlinear partial differential equations. It investigates the applications and effectiveness of neural networks in handling complex and nonlinear problems in various fields such as…
Read MoreThis project aims to examine the effectiveness of machine learning algorithms in predicting stock prices by combining statistical and mathematical models. By analyzing historical data and applying various machine learning techniques, the project seeks to…
Read MoreThis project focuses on exploring the potential of machine learning algorithms in predicting stock market trends by analyzing historical data and market indicators. By applying various machine learning techniques, the aim is to develop predictive…
Read MoreThis research project aims to explore the utilization of fractal geometry in the fields of image compression and data encryption. By employing fractal algorithms, the study seeks to enhance the efficiency of image compression techniques…
Read MoreThis project thesis focuses on utilizing differential equations to model population dynamics, such as growth, distribution, and interactions. By analyzing historical data and trends, the aim is to develop predictive models that can forecast future…
Read MoreThis project aims to explore the potential of deep learning algorithms in solving partial differential equations (PDEs), a fundamental problem in various scientific and engineering fields. By using neural networks, the study seeks to develop…
Read MoreThe project thesis investigates the use of bifurcation theory in mathematical modeling and analysis of nonlinear systems. By studying how systems behave as parameters change, the thesis aims to deepen our understanding of complex systems…
Read MoreThis project aims to develop an algorithm that enhances the accuracy and efficiency of solving numerical integration problems by implementing the trapezoidal rule and Simpson's rule. By combining these two methods, the algorithm will provide…
Read MoreThis project thesis explores the use of machine learning algorithms to predict stock market trends and optimize investment portfolios. It involves a mathematical analysis of various machine learning models and their effectiveness in forecasting stock…
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